Senior AI/ML Solutions Architect

2 weeks ago

Delhi, Delhi, India HashRoot Full time

HashRoot is seeking a highly skilled Senior AI/ML Solutions Architect to design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions using AWS services. This role involves leveraging SageMaker and predictive analytics to build scalable and efficient AI/ML solutions.

Job Overview

We are looking for an experienced professional with a solid understanding of machine learning algorithms, deep learning architectures, and the ability to leverage AWS cloud services.

Key Responsibilities:

  • Design, develop, and implement machine learning models and AI systems using AWS SageMaker and other AWS services.
  • Leverage SageMaker for end-to-end machine learning workflows, including data preprocessing, model training, tuning, and deployment.
  • Build and optimize predictive analytics models for various use cases, such as forecasting, anomaly detection, and recommendation systems.
  • Integrate machine learning models into existing applications and systems, ensuring seamless integration and optimal performance.
  • Develop and maintain CI/CD pipelines for machine learning models, ensuring efficient model deployment and monitoring.
  • Implement best practices for data governance, security, and privacy in AI/ML solutions.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Statistics, or a related field.
  • Minimum of 3 years of experience in machine learning engineering, with a strong focus on AWS services and SageMaker.
  • Proficient in programming languages such as Python, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning architectures, and reinforcement learning.
  • Experience with predictive analytics techniques, such as time series forecasting, anomaly detection, and recommendation systems.
  • Strong knowledge of AWS services for machine learning, including SageMaker, S3, EKS, and related services.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) and their integration with AWS services.
  • Experience with data preprocessing, feature engineering, and data manipulation techniques.

Estimated Salary: $120,000 - $180,000 per year

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